Situation Calculus

Situation calculus is a formal logic framework for representing and reasoning about dynamic systems, primarily focusing on actions, their effects, and the resulting changes in the world state over time. Current research emphasizes extending its capabilities to handle complex scenarios, including nondeterminism, probabilistic actions, and the integration of continuous time and hybrid systems, often employing techniques from timed automata theory and hybrid automata. These advancements are improving planning algorithms, enabling more robust reasoning in areas like robotics, autonomous systems, and the formalization of fairness and bias in machine learning, ultimately contributing to the development of more reliable and explainable AI systems.